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Related Experiment Videos

Risk assessment of pulmonary embolism by multivariate analysis.

B Sigel, J R Justin, R J Gibson

    Archives of Surgery (Chicago, Ill. : 1960)
    |February 1, 1979
    PubMed
    Summary

    Identifying pulmonary embolism risk is crucial. A history of pulmonary embolism is the primary indicator, while inactivity and heart failure also increase risk in hospitalized patients.

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    Area of Science:

    • Medical research
    • Clinical epidemiology
    • Cardiovascular medicine

    Background:

    • Pulmonary embolism (PE) poses a significant risk to hospitalized patients.
    • Accurate risk stratification is essential for effective prevention and management.
    • Current methods may not fully capture the complexity of PE risk factors.

    Purpose of the Study:

    • To evaluate the effectiveness of multivariate analysis in identifying patients at risk for pulmonary embolism.
    • To determine key risk factors for PE in a hospitalized population.
    • To compare the predictive value of multivariate analysis with traditional methods.

    Main Methods:

    • Prospective study involving 6,527 hospitalized patients.
    • Multivariate analysis of various clinical and demographic factors.

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  • Assessment of risk prediction accuracy compared to lower extremity findings alone.

    • Main Results:

    • A history of previous pulmonary embolism was the strongest predictor of PE.
    • In patients without a prior history, inactivity, congestive heart failure, deep-vein occlusion, female sex, and black race were significant risk factors.
    • The identified factors allowed for risk discrimination, with 68.7% of PE cases occurring in 32.2% of the high-risk population.
    • Multivariate analysis demonstrated improved risk assessment compared to lower extremity findings alone.

    Conclusions:

    • Multivariate analysis of clinical factors is effective in assessing pulmonary embolism risk in hospitalized patients.
    • Identifying specific risk factors allows for targeted interventions and improved patient outcomes.
    • This approach enhances the ability to identify individuals at increased risk for pulmonary embolism.